Generate consensus-based answers using Claude, GPT, Grok and Gemini
The original LLM Council concept was introduced by Andrej Karpathy and published as an open-source repository demonstrating multi-model consensus and ranking. This workflow is my adaptation of that original idea, reim...
Template notes
The original LLM Council concept was introduced by Andrej Karpathy and published as an open-source repository demonstrating multi-model consensus and ranking. This workflow is my adaptation of that original idea, reimplemented and structured as a production-ready n8n template. Original repository - https://github.com/karpathy/llm-council
This n8n template implements the LLM Council pattern: a single user question is processed in parallel by multiple large language models, independently evaluated by peer models, and then synthesized into one high-quality, consensus-driven final answer. It is designed for use cases where answer quality, balance, and reduced single-model bias are critical.
📌 Section 1: Trigger & Input
⚡ When Chat Message Received (Chat Trigger) Purpose: Receives a user’s message and initiates the entire workflow.
How it works:
A user sends a chat message
The message is stored as the Original Question
The same input is forwarded simultaneously to multiple LLM pipelines